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„Ryan covers everything you could possibly imagine in a statistical methods book... Those with more advanced statistical experience will get the most from this book, although the reading level is suitable for the average user. This is an excellent reference for any of your quality improvement needs.“ (Quality Progress, July 2012)
Statistical Methods for Quality Improvement
von Thomas P. RyanPraise for the Second Edition
„As a comprehensive statistics reference book for qualityimprovement, it certainly is one of the best booksavailable.“
--Technometrics
This new edition continues to provide the most current, proven statistical methods for quality control and qualityimprovement
The use of quantitative methods offers numerous benefits in thefields of industry and business, both through identifying existingtrouble spots and alerting management and technical personnel topotential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools andtechniques that make it possible to quickly identify and resolveboth current and potential trouble spots within almost anymanufacturing or nonmanufacturing process. The book providesdetailed coverage of the application of control charts, while alsoexploring critical topics such as regression, design ofexperiments, and Taguchi methods.
In this new edition, the author continues to explain how tocombine the many statistical methods explored in the book in orderto optimize quality control and improvement. The book has beenthoroughly revised and updated to reflect the latest research andpractices in statistical methods and quality control, and newfeatures include:
* Updated coverage of control charts, with newly added tools
* The latest research on the monitoring of linear profiles andother types of profiles
* Sections on generalized likelihood ratio charts and the effectsof parameter estimation on the properties of CUSUM and EWMAprocedures
* New discussions on design of experiments that includeconditional effects and fraction of design space plots
* New material on Lean Six Sigma and Six Sigma programs andtraining
Incorporating the latest software applications, the author hasadded coverage on how to use Minitab software to obtain probabilitylimits for attribute charts. new exercises have been addedthroughout the book, allowing readers to put the latest statisticalmethods into practice. Updated references are also provided, shedding light on the current literature and providing resourcesfor further study of the topic.
Statistical Methods for Quality Improvement, ThirdEdition is an excellent book for courses on quality control anddesign of experiments at the upper-undergraduate and graduatelevels. the book also serves as a valuable reference for practicingstatisticians, engineers, and physical scientists interested instatistical quality improvement.
„As a comprehensive statistics reference book for qualityimprovement, it certainly is one of the best booksavailable.“
--Technometrics
This new edition continues to provide the most current, proven statistical methods for quality control and qualityimprovement
The use of quantitative methods offers numerous benefits in thefields of industry and business, both through identifying existingtrouble spots and alerting management and technical personnel topotential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools andtechniques that make it possible to quickly identify and resolveboth current and potential trouble spots within almost anymanufacturing or nonmanufacturing process. The book providesdetailed coverage of the application of control charts, while alsoexploring critical topics such as regression, design ofexperiments, and Taguchi methods.
In this new edition, the author continues to explain how tocombine the many statistical methods explored in the book in orderto optimize quality control and improvement. The book has beenthoroughly revised and updated to reflect the latest research andpractices in statistical methods and quality control, and newfeatures include:
* Updated coverage of control charts, with newly added tools
* The latest research on the monitoring of linear profiles andother types of profiles
* Sections on generalized likelihood ratio charts and the effectsof parameter estimation on the properties of CUSUM and EWMAprocedures
* New discussions on design of experiments that includeconditional effects and fraction of design space plots
* New material on Lean Six Sigma and Six Sigma programs andtraining
Incorporating the latest software applications, the author hasadded coverage on how to use Minitab software to obtain probabilitylimits for attribute charts. new exercises have been addedthroughout the book, allowing readers to put the latest statisticalmethods into practice. Updated references are also provided, shedding light on the current literature and providing resourcesfor further study of the topic.
Statistical Methods for Quality Improvement, ThirdEdition is an excellent book for courses on quality control anddesign of experiments at the upper-undergraduate and graduatelevels. the book also serves as a valuable reference for practicingstatisticians, engineers, and physical scientists interested instatistical quality improvement.
